{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# vim: set filetype=python:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Relevance Vector Machine (RVR and RVC)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relevance Vector Regressor and Relevance is kernelized version of ARD Regression and Classification (i.e. it uses the same algorithm for optimization but instead of applying it to raw features applies it to kernelized features)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Development of RVM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are three different methods for fitting Relevance Vector Machine. Tipping proposed two of them namely fixed-point iterations and expectation maximization in his original RVM paper [ Tipping(2001) ], the third one (Sequential Sparse Bayesian Learning) was discovered later by Faul and Tipping (2003). \n",
    "\n",
    "The version of RVM that used EM and fixed-point iterations was very slow. It was starting with all basis functions included in the model and at each iteration was removing basis functions with little explanatory power. Sparse Bayesian Learning algorithm starts with single basis function and adds new ones, so only a small subset of basis functions are used in the optimization, this gives the new version of RVM significant speed advantage over older versions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RVR and RVC pass scikit-learn tests for regression and classification algorithms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All test are passed ...\n"
     ]
    }
   ],
   "source": [
    "from sklearn.utils.estimator_checks import check_estimator\n",
    "from skbayes.rvm_ard_models import RVR,RVC\n",
    "check_estimator(RVC)\n",
    "check_estimator(RVR)\n",
    "print \"All test are passed ...\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Relevance Vector Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 1: sinc(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RVM error on test set is 0.996854487408, number of relevant vectors is 10, time 1.27606892586\n",
      "SVM error on test set is 0.997343770491, number of support vectors is 2275, time 11.461288929\n"
     ]
    },
    {
     "data": {
      "image/png": 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213369KFRo0Zs2rTJ3ndYWBiPPPIIhmHw8MMPc/DgQafsYElTXh94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\nulhSU239jh2LfU+gMhrJeTxQ+S5OXl6eNe3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wJjTxaNTI+Xf4cA4CHW6+GWrVcp7zVJJ9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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11179c910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.utils.estimator_checks import check_estimator\n",
    "from skbayes.rvm_ard_models import RegressionARD,ClassificationARD,RVR,RVC\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.grid_search import GridSearchCV\n",
    "import numpy as np\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "from sklearn.metrics import mean_squared_error\n",
    "%matplotlib inline\n",
    "\n",
    "# parameters\n",
    "n = 5000\n",
    "\n",
    "# generate data set\n",
    "np.random.seed(0)\n",
    "Xc       = np.ones([n,1])\n",
    "Xc[:,0]  = np.linspace(-5,5,n)\n",
    "Yc       = 10*np.sinc(Xc[:,0]) + np.random.normal(0,1,n)\n",
    "X,x,Y,y  = train_test_split(Xc,Yc,test_size = 0.5, random_state = 0)\n",
    "\n",
    "# train rvr\n",
    "rvm = RVR(gamma = 1,kernel = 'rbf')\n",
    "t1 = time.time()\n",
    "rvm.fit(X,Y)\n",
    "t2 = time.time()\n",
    "y_hat,var     = rvm.predict_dist(x)\n",
    "rvm_err   = mean_squared_error(y_hat,y)\n",
    "rvs       = np.sum(rvm.active_)\n",
    "print \"RVM error on test set is {0}, number of relevant vectors is {1}, time {2}\".format(rvm_err, rvs, t2 - t1)\n",
    "\n",
    "# train svr\n",
    "svr = GridSearchCV(SVR(kernel = 'rbf', gamma = 1), param_grid = {'C':[0.001,0.1,1,10,100]},cv = 10)\n",
    "t1 = time.time()\n",
    "svr.fit(X,Y)\n",
    "t2 = time.time()\n",
    "svm_err = mean_squared_error(svr.predict(x),y)\n",
    "svs     = svr.best_estimator_.support_vectors_.shape[0]\n",
    "print \"SVM error on test set is {0}, number of support vectors is {1}, time {2}\".format(svm_err, svs, t2 - t1)\n",
    "\n",
    "\n",
    "# plot test vs predicted data\n",
    "plt.figure(figsize = (16,10))\n",
    "plt.plot(x[:,0],y,\"b+\",markersize = 3, label = \"test data\")\n",
    "plt.plot(x[:,0],y_hat,\"rD\", markersize = 3, label = \"mean of predictive distribution\")\n",
    "\n",
    "# plot one standard deviation bounds\n",
    "plt.plot(x[:,0],y_hat + np.sqrt(var),\"co\", markersize = 3, label = \"y_hat +- std\")\n",
    "plt.plot(x[:,0],y_hat - np.sqrt(var),\"co\", markersize = 3)\n",
    "plt.plot(rvm.relevant_vectors_,Y[rvm.active_],\"co\",markersize = 12,  label = \"relevant vectors\")\n",
    "plt.legend()\n",
    "plt.title(\"RVM\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we vizualise predictive distribution produced by Relevance Vector Regression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CcC5RRtiMIAiCIJz/KGMVpe1a68nnui+CcLZQxpRWb2CMav9Aaz3VTb6uGP+s3qa1/rIi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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1151a5990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.stats import norm\n",
    "n_grid = 500\n",
    "max_x      = np.max(X,axis = 0)\n",
    "min_x      = np.min(X,axis = 0)\n",
    "max_y      = np.max(Y)\n",
    "min_y      = np.min(Y)\n",
    "X1         = np.linspace(min_x,max_x,n_grid)\n",
    "Y1         = np.linspace(min_y,max_y,n_grid)\n",
    "x1,y1      = np.meshgrid(X1,Y1)\n",
    "Xgrid      = np.zeros([n_grid**2,2])\n",
    "Xgrid[:,0] = np.reshape(x1,(n_grid**2,))\n",
    "Xgrid[:,1] = np.reshape(y1,(n_grid**2,))\n",
    "mu,var     = rvm.predict_dist(np.expand_dims(Xgrid[:,0],axis =1))\n",
    "probs      = norm.pdf(Xgrid[:,1],loc = mu, scale = np.sqrt(var))\n",
    "plt.figure(figsize = (12,8))\n",
    "plt.contourf(X1,Y1,np.reshape(probs,(n_grid,n_grid)),cmap=\"coolwarm\")\n",
    "plt.plot(X1,10*np.sinc(X1),'k-',linewidth = 3, label = 'real function')\n",
    "plt.plot(X1,10*np.sinc(X1)-1.96,'k-',linewidth = 2, label = '95% real lower bound',\n",
    "         linestyle = '--')\n",
    "plt.plot(X1,10*np.sinc(X1)+1.96,'k-',linewidth = 2, label = '95% real upper bound',\n",
    "         linestyle = '--')\n",
    "plt.plot(rvm.relevant_vectors_,Y[rvm.active_],\"co\",markersize = 12,  label = \"relevant vectors\")\n",
    "plt.title(\"PDF of Predictive Distribution of Relevance Vector Regression\")\n",
    "plt.colorbar()\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7e3PkyBFKSkr473//y8svv4yHhwdt27Zl3Lhxdd68LiqSPoVCiDpjGQyWvS/8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\n7r77yF60qOPEsKqK9Fff5oGfPN1u3T1Vn+RxJKZPw9pcz9Zvf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NDdkwy314JTfnA1gMxP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\nBJIUCiGEEEII4P8Asq1jSN7cjEgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115270f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "probs      = norm.cdf(Xgrid[:,1],loc = mu, scale = np.sqrt(var))\n",
    "plt.figure(figsize = (12,8))\n",
    "plt.contourf(X1,Y1,np.reshape(probs,(n_grid,n_grid)),cmap=\"coolwarm\")\n",
    "plt.plot(X1,10*np.sinc(X1),'k-',linewidth = 3, label = 'real function')\n",
    "plt.plot(X1,10*np.sinc(X1)-1.96,'k-',linewidth = 2, label = '95% real lower bound',\n",
    "         linestyle = '--')\n",
    "plt.plot(X1,10*np.sinc(X1)+1.96,'k-',linewidth = 2, label = '95% real upper bound',\n",
    "         linestyle = '--')\n",
    "plt.plot(rvm.relevant_vectors_,Y[rvm.active_],\"co\",markersize = 12,  label = \"relevant vectors\")\n",
    "plt.title(\"CDF of Predictive Distribution of Relevance Vector Regression\")\n",
    "plt.colorbar()\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 2: Boston Housing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RVR achieves better MSE on Boston housing dataset than SVR or GBR."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Boston Housing\n",
    "from sklearn.datasets import load_boston\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.preprocessing import scale\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "\n",
    "boston  = load_boston()\n",
    "Xb,yb   = scale(boston['data']),boston['target']\n",
    "X,x,Y,y = train_test_split(Xb,yb,test_size=0.3, random_state = 0)\n",
    "\n",
    "rvr = GridSearchCV(RVR(coef0=0.01),param_grid = {'degree':[2,3],'kernel':['rbf','poly','sigmoid'],\n",
    "                                       'gamma':[0.1,1,10]})\n",
    "# Polynomial kernel was not used, since SVR with 'poly' kernel \n",
    "# did not produce any results even after 30 minutes running \n",
    "# (you can try yourself!)\n",
    "svr = GridSearchCV( SVR(), \n",
    "                   param_grid = {\"C\":np.logspace(-3,3,7),\n",
    "                                 'gamma':[0.1,1,10],\n",
    "                                 'kernel':['sigmoid','rbf']},\n",
    "                   cv = 5)\n",
    "\n",
    "gbr = GridSearchCV( GradientBoostingRegressor(), \n",
    "                    param_grid = {'learning_rate': [1e-3,1e-1,1],\n",
    "                                  'max_depth': [1,5,10],\n",
    "                                  'n_estimators':[100,500,1000]})\n",
    "\n",
    "rvr = rvr.fit(X,Y)\n",
    "svr = svr.fit(X,Y)\n",
    "gbr = gbr.fit(X,Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ===== Comparison of RVR -vs- SVR -vs- GBR ======\n",
      "\n",
      "     MSE for RVR on test set: 15.1912947255 \n",
      "\n",
      "\n",
      "     MSE for SVR on test set: 15.8070855249 \n",
      "\n",
      "\n",
      "     MSE for GBR on test set: 20.3440758002 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error as mse\n",
    "print \" ===== Comparison of RVR -vs- SVR -vs- GBR ======\"\n",
    "print \"\\n     MSE for RVR on test set: {0} \\n\".format(mse(y,rvr.predict(x)))\n",
    "print \"\\n     MSE for SVR on test set: {0} \\n\".format(mse(y,svr.predict(x)))\n",
    "print \"\\n     MSE for GBR on test set: {0} \\n\".format(mse(y,gbr.predict(x)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Relevance Vector Classification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 3: Binary Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ====  RVC: time 0.772290229797, relevant vectors = 10 \n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.92      0.96      0.94       160\n",
      "          1       0.95      0.91      0.93       140\n",
      "\n",
      "avg / total       0.94      0.94      0.94       300\n",
      "\n",
      " ====  SVC: time 2.65928912163, support vectors  = 71 \n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.95      0.96      0.96       160\n",
      "          1       0.96      0.94      0.95       140\n",
      "\n",
      "avg / total       0.95      0.95      0.95       300\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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npuMW311A62JL+7CDE7+FbM51FQRBCAoiQAVH8NIV8lIABCXUataVTSYEk63f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\nXgp7nGHgp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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11515a4d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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H1LoO3fP5yFJKEqSclWvd+Ln2fIQQxiil8oC5wBnATmCVUuqvWuuPw7fRWv8a\n+HXv7c8Dfqy1bglfDZyqtW4y8ngSQEVKXqpymVlkPZlQ9Ws46OnALLSGQO3jHH0Spsd9xlbSerp6\ngEnA8baFwb6PuQ5YY8lxcy18pLPlavprm2Zefbbq9U/3ODIsQYgBbSqwWWu9DUAptQj4GvBxgtvP\nAhbG/M7wh4UEUOEpRk6cRhdZT0c6FV+tNcHuzrQezxqfA3UveXkKlC/tYRK5Fj7S2XIVyGht00y+\ncFj1+mdyHBmWYEz9qKkM377S7WYIYbWRwPaoyzuAk+PdUCk1GDgLuDrq1xr4h1KqB3hYa/2HZA8m\nAVR4hpkTZ7yganacZtXol6jf+hHoTpTqoWrMB5HAafaEq1kGFBN6/z2JLw+U7wPbxszGVu/KDytg\nbE0rh5SltywV5F74SGfL1fDOUG68Bla9/rn27yiEgMIp0zM+xuvvf8Tr73+U7CbaxOHOB96I6n4H\n+ILWul4pNQx4RSm1QWu9ItEBJIAKzzB64kynwtP/PvMi1a+Dk5DSC25KKXx5ZxHsPi50Oe9yTjqj\n1dYdfsLVu9aGDax/ayGN/nNo/kxFlqWC3OtOz4xG6zr2tTRb+lpkwyQ9M3Lt+QghDvrSpGP50qRj\nI5fvfnxx7E12AqOiLo8iVAWN5xJiut+11vW9/9+tlHqOUJe+BFCRO9Kp8MS7z96mTZQNO4ayYcdk\n1J6SiglUj3mAQF0o1FSNfo8R46wNnvHCZPi/psBXCXant4FA7PPIpfARfj7+Wk2w5yV0z+msWVbA\nzs2JXws31za16vXP5Dhem3QohHDUauAopdRYYBfwbWBm7I2UUqXAlwiNAQ3/bjCQp7Xeq5QaAswA\nbkv2YBJARVxuVM+yNQDZfdIOz9gP1A0HoGr0y0w9+9qkj5FOSM+18BF+Pru2LGXNqzPo6b6Cnq7k\nr4Wba5ta9fpnehwvTToUQjhHa92tlLoGeInQMkzztdYfK6V+2Hv9w703/Trwkta6PeruVcBzvZ81\n+cDTWuuXkz2eBFDRj1uTUYyeOJMF1UTBOZNwm+7EKKu0NmzoXS4qNAaofuvHtDZsoGzYMQY3EGgj\nWPoPPvB3ofYegq9LU6YrmThuFnn5RY49DzcopTik7AhQLalvHHUft14DK8NsLv07CiGcobX+O/D3\nmN89HHP5ceDxmN9tJbT8i2ESQEU/bk5iMHLiTBRUkwXndKtCXpgZvr91G+gzifR26E72t26jbNgx\nKTcQ8Ne+3YXOAAAgAElEQVR2EDziWfQdV9JUVRU55m5/gIZ5d/DFmpv7hdBcEx3StdYMrVqK1peg\ntfZ8hVfG8QohcpXP7QYIkY5wUC2tnBg5KUcH556uywjUTelTCYx3n1RSHdMJQ0rHElrVIkSpHoaU\njo263P95hYPpyKkr4fYrICp8AlBdRfOcC9mw+WknnoKrwq/Fv32jlIrqZTQFzmHFc62semkuWpuZ\n9Oms8Jef1xe38PriFs+3VwghzJAKqOgnW8di5qrSyokMP/IVArWhHo+qMR9QWpn630MpxYEhGqqr\n49+guooWX4OVTfWsgxO2Ts+a5YmS9URIZVQIke0kgIp+Ei3Q3dqwofeyN094dgRnL4TxTCaVBAuS\n3y5YkF2dIBK8vDEsRAghMiUBVMQVPRbTyRNeJgHDjlncXpkZnu6kEl9X8i5bX1cw3SZlJJ1/50z/\nDr3wZcKM2PYOrVqG1t9wdbF8IYSwigRQkZJTk5KsCLp2zP7N5hnFZbqS3f4AVFf1v7LeT1mw0vE2\npfvvnOnfoVe+TBgRDuhHn3QmR50EH/VuNrDiuVaGVv0dOMftJg5osg1nfFprNu9vA2D8kMGefX8J\nb5AAKjxDthC03sRxs2iYdwfNcy7sG0L9AcofXMzEmpsda0s4VO1r2Yq/dkq/xfO9ssqC22ID+tCq\nZTT6zyHYfTkAjX5NRfWrNAVCt/d6JVcMDFprHvnXRk5pagZgfkU5V9UMzGEywhgJoAOQ2e7PbOu6\nFAfl5RfxxZqb2fDI07T4GggW+PB1BSkLVjLRwSWY+oQqXUqw52XgMsD4ycnrf4dWjU+N/SLW5A8C\n2yPXK6Womf7NqDVuvVvJjSbjd3Pb5v1tnNLUzOU9vcN6GlvYvL+Now4Z4m7DhGdJAB1g0un+dKrr\n0usBw2lWnbDz8ouomXiVlU0zLTZUKdWNyr8bpUYb/nc2+3foZOCxdZy08lFR9S+aAk/2HnsVpZXZ\nETrDZOIUbFm61u0mCOEpEkAHmHS7uZ3ourQq6OZCpSXTE3Z3VzsbP11Ii2ogWKCS7n7kBl9+ISee\ndiiHlJWZ+nc2+nfodOCxcvhIvC9ik2fcyt6mTb3XZ19wk+E1uW/8kME8MrQcmkK7jr1TUcZVQwa7\n3CrhZRJAhadkGnS9XGkxE4wzOWF3d7Xz5kd30nzNhX0WoHdz96N4oWrEOO8EQi99aUn0RUzCmvAy\npRTfO25CZBLSVTIJSaQgAXSAyfVubq9WWpwMxhs/XRiadJRo96NHnna8S97LM9C11qxcej+BuuEA\nVI1+malnXwtgOJRa/b7KtcCZ6587IkQpJWM+hWESQHNYvKqOl4OAW5yofpkNxpmcsFtUQ/xll8CW\n3Y+Mvn5Ohiozr19rwwbqtzaDng5A/daPadn9MZ+s+YfhLwzyvkpuILw+navecrsJQmQVCaA5KlnF\nLXaReTd2OLIr9JkNbl7tss+W3Y9y4fXb37oN9JnArNAvdCcNO98yXUnPtaql1eT1EUJEkwCao4xU\n3NwKD3Y+rtng5lSXfToVTbd3PzLyJcHM62f0S4dVX06Mvn5DSsei1G60Dt+vh+JDRqb1mEIIIYyR\nADqAuTFeUmvNri1LCdROpsemhcidrLSY6X52qgsy1e5HXQ31vMkvk86ON/olQWtNsLszcjnY3YnW\n/QOwmeM5/aWopGICFSMX01TvQykfVWM+YMS4OezaMtf2MYtemvwkhBBOkgCao7w46D8cLvy11QS7\nS1xtS1gmr5PZsORUME62+1Her35Hy0/mwKhRkV/vrq2j7jf/waGHTUAX5uPr0hTtV/hrTza0W5Fm\nGVDc+/Ny4Fv9bmP0y47TX4q01qx+eS5N/tNAbWdo9Xomz7gFn89n+xcGrw5fEEIIJ0gAzVFGKm5O\nh9RwuAh2XwrcBDxGXr6iavR7roXjTCqTXp1xn2j3o66Gelp+3Dd8cuAAPLeYjv/+ER3Rs+b9fvj/\nHodPZhEOl/EopfDlnUWw+zgAfHndAK6MK07Hwb/J3l2HAk+yt2kTpZUT0/rC4NRSW0IIke0kgOaw\nVCdQo+HL+m5CBdyFL/9uTjz9UFvXgzTUGg9Pjkh3Qfl4ux+9yS9h9Ki+N3zxRZg5M86STdVw2xWo\nH/0QX+uZCb+clFRMoHrMAwTqQv9+VaNXs3F1kM+2n9x7OVTVM/plx+3KvdaafS1bI20x8ncZfn9o\nrdn03itS0RRCCAMkgA5wqcJXojUS0zmp9g8XAUaMuzhrT9B2hyWrF5SPOzt+z57+4TNseDVlNV1M\nqk68W1Hslxitz2DFc61xq3rh24XGiJ7BnsaN/UKe08v1RP8baq0pHLSQNctmAS2GAmR0N7rWdeie\nz6O1/UttCSFEtpMAKpKKt0Zia8MGyoYdY/pYTocLuyd42P18Ui0o37jkRWbMuN7w8T78rIjG2F/6\nki/J5BtyqKltWsNd74luV1IxIeW4Rycr0tH/hvtatrJm2SxTXeJ9u9HXAWvSemzIzbUxhRAiEQmg\nIql4ayTub92WVgCFg+HCSDjMJEA6NcHDzrCUakF5f/sbpo5XXTyCLbGz44PJl2QyumRTWKqqXrrj\nHmP/FsLHCl/O5N+1779hS9rHgc+Bupe8PAXKZ+tSW0IIke0kgIqk4q2ROKR0bEbHNBIOMw2Q2TrB\nY9K0sZGf1zYmnvwD0JNvLnSd+uWrqX18DjuuOO9gCC0pCU04qq7uf4d6P0dVjzP1GD3dBxg8dgil\nh/+dnkIfXRTx0aZHU45ZTSbe34LW/ceZZvrlIp0u8dj7HDZqKBMml/dWe6WiKYQQiUgAFUmVVk5k\n+JGvEKh9HICqMR9QWpnZOLXWhg0p1wFNFiBzce3E6OAZlt+T/D553ckXnO/saOO11x/C376L7rzQ\n8UZVTGDkXzeyu+sNevIVqqOHhvv/wL4f/aDfkk2HP/E3vnLxPAoKDwbh99/ZlvDx+o5ZPTvy++gx\nq+mEvH5/C7VBNDsMLRFlVPhv6qgTz2DEuFqUguFHzkn5txXdjR4a23pmZKiBmQlMkNnfci6+J+wS\n770mhHCeBFAL5dpJIPx8jj7pTI4+CUuqOlpr1r+1kJ7us9K+v5HKaDZM8Eh1IozbZR5W76e6eETC\n+3Z2tPHEX65hx5XnQdW0yO+3+AMc/viLXBEVLLs621m+ZB7+9lAozevWVBeP6Bc+Y9scG0ZTjVnd\n8MjT1Ey8ynPjHqP/poLdnWhW4subQfXmeYYqq0bHtiZ7XKP3sfM4Ir6aslq3myBETpIAapFcOwn0\nfz6rLHk+exo30ug/B9gALAA6GVr1GiUVN/a5XUnFBA4bdT+BulCCPGyUn5KKaw13rXt5gofRCkzc\nLnPoU51M5LXXHwrdL04Y3HHFeSxfMi8ygamgsNjUZKaw8PMIB9FUY1ZbfA2A+XGP/b9MvNfbBf9k\n7+XMvlzE/k1BMcHu4wjUKcOV1YPHuBT4EH9tXcrJelYNE8nW4SZedOIx3viMEGIgkABqkVw7Cdj5\nfEJB8C7gQ3z5L1Az/RsJl/hRHN77cyCtx0m3vXZUs812/RUUFnPFxfMMVyej+dt3QfW0+FemMYEp\nmfDzWrE1+WsULEg+4z6ReF8mAM99uQh1wd8EHEeweyTr33qO6RdM9ETbhHCC1prN+9sAGD9ksPzt\ni6QkgApHxVsLtLTy4n63iwTgyDg/X2TdSLu71u2oZhsNn/HGbVYXj2DmOXclDZyxuvOSX292ApMR\nZUPiLPMUxeyM+mjxvkxY9eUu+m8q1AW/HF9eN1WjVyf824r9glJSMYGK6lvYveMswitGNAXyHFkH\n1KnhJrk2xEhYS2vNI//ayClNzQDMryjnqhr5OxGJSQC1SDaMOTTDrueTade4E13rVlZ/zVQ9k43b\nrH18Tp9xm6lkOoEpHanGrJYFKy1/TCv0n0j0raTjnRN9QamZPpMVi5vp6Tb/uJD+37IT7wm7hhhJ\nqM0dm/e3cUpTM5f39H7RbGxh8/42jjpkiLsNE54lAdQiXh5zmA47n4+RrvFkATgb1k5MZ6atmXGb\nqWQygSldycaslj+4mIk1N1v+mFYx8zeV7AtK1ZgHCNSFhhqE/2aThSyr/pbtfk+0NmzAX1tNsPsE\n4HOWrTyQS+PmhRDmSAC1UDYEIzPcfD5uBvpMq7/pLvOSzrjNRJMmao6YQ+NvrmbDt2ICbSD1BKZ0\nJRuzWmFy29BslGisaraHrNDKFYsJdp8K/At4Bq0nZHzcXBs3P9CNHzKYR4aWQ1NoM4d3Ksq4ashg\nl1slvEwCqPCsRAHYy1tsZrLGYKpxm8UlyvAs3UFFxdzx0wdZ+Je5fNr8Bl15ioIezZHlI5j58wcZ\nVNS/K3/Nx5l3yyeaUR8e27qpfgvBAoWvS1OmKzNaoN4tZqrzrQ0bsj5k7WncSFPgdCC8SsBjVFQv\npaTiVhdblV22LF3rdhNsp5Tie8dNiExCukomIYkUJIAKU9wes+XVLTatWNw61bjNgh5zAXFQUTFX\nXvpfhm8fG26tCKSQeGxr9AL12RRCc224jVl5+Yqa6Ze4svOUFwzfvtLtJniWUkrGfArDJIAKw7ww\nZsuL3XZW7axSXTyCLYFA/zGgAH4/R5ZbP24zmehAmkkYTTa2NXqB+mxi9AtKtoasaPHWYc10NzSQ\nIC/EQCcBVBjmxfDnNqvC54nHqKTjNif++W/M/OmDljxWuu2Dg0E0ermoThVk7+46dMcBSkaMp1Dl\nU108glO/fDUFhcUpx7aGF6jPRbkQstyekJgNOle95XYThMg6EkAd5oUu7Gxe9sRLFaVMw2dsl3fS\ncZs/jT9u02knHqPoONDGzb+5pjcoRwXLQIDWhQth9my2NLdElo5KNbZ1cIX9ExXs/rs3M9M9G9+D\nuRIUhRDeIQHUQW53YWf6+F4If16pKFkdPsPMjtvsONDGomcf5NPmXXT6oDAIR5aP4JIL59gWWBc9\n+2D/Ki2ELs+cCS+8ABddFFk6ysiapJOmje23t7xV7H7fmTl+Om3JxsDqVVb1WAghMicB1EFud2Fn\n+vheCX9uVmPsCp7pCFUi5/SrRK4NBFj/m6u5w6aq6afNu/pWPqNVVUFra+jn3qWjhg8eaWhNUrtC\nqN3vOzPHN9sWt7+0xmuPhGEhhBUkgIqUYk86A7UrLpPwaWXwDHvlb79IWInc8K3zeOXFu/nZ976X\n8P7rW8ak9bidqbZ0zzvY596Tr5IuUB+7JqmdldBs5PaX1mheC8NWi/cerSmrdaElQgwMEkAd5HYX\ndjqPb8VJx86qiVMVGbfDZ7wT4S93744/Yx6gqoqPGpJP7qkpq6W9vZ37Fyzgo9276fT56OoclLIL\nvzDVlu49B/vc87p10gXqvxJne9Hwa21VELX7fWfm+G5/BmTCS2FYCJH9JIA6yO0u7HQeP9OTjp1V\nEyuP3d3VzsZPF9KiGixbKD3T4Jmq+tLpS16KTHV9e3s7l91+O2svvLBPkF0bCPDpfVfx39fNjxtC\njywfwdoky0VRWhr5Ody9nmiB+mSsqoba/b4zc3yzbcnmwCrM01pHFnIfLwu5ixwnAdRhbs8mTefx\ntdbAuqifjYsNsP5aza4tSzmk7IiMK5ZWVWS6u9p586M7ab6mbxALL5R+9XcfMd22dMOnmS6/wmDy\nUmSq6+9fsKBf+ASgqoq1F17Ypws/urv+kgvnsD7BclEsWgSzZ0eWjvrJTx9kUJFKex1RK0Oone87\nM8c3e1svjLsOPbaEYTtprXnkXxs5pakZgPkV5VxVI+NsRe6SACqSOnTo0RQO+jEHukNhpnDQnzh0\n6G/TPJom2PMSa16dAarFM2PINn66kOY5cYJY70Lpy5fMM1W9Syd8pjPW7Nhhw3gjSSXy2MrKpPf/\nyEQXfnT71reM6bNcVKfSNOyqRR84QOXYoxi08MV+S0edeIz7ITRbuf2lNbodXgnDuWjz/jZOaWrm\n8p7eL46NLWze3yY7C4mcJQHUYXaMWYw9JpDyMYy2Y2/TJro6ZxHeB7qrM4+9TZsMnRC11mitGVq1\nhEa/Braje06np/sKIPMxZFZVZFpUQ/wZ2hCZyW2EU8Ez7LrvfIdVt93Wv4oZCPD5xYu57pZbkt4/\n3S78cJsHmVguCvovZm+GFSFUZnBnzithWAiR/SSAOsiO8ZDxjql1kM+2nxy5PHnGHPY2bQIOBlS7\nZ7P2bddXqahexphjJ7F2eQE9XcaPkSwwWFWRCRYkv09Pfupjmg2fVsyuLSoq4qlbbuG+p57io4YG\nOn0+CoNBjq2s5LpbbqGoKPnY1Uy78MPPwexs+nSroZmE0FyfwS1Ss2IN0HT2gd+ydK2h240fMphH\nhpZDUwsA71SUcdUQ+zdpEMItEkBNyqSKYscs0n7HrA2i2UGw++BjvP3CrTQFvgqETrxHn3SG4Xak\nW2WMbVdTAGqml1I1+hVDxzIaGKyoyPi6koehvO7k15sJn1Yv61JUVMTPvve9/ifG3evi3r5+1NTI\nz5l24YelE0TtCqGJ3p92z+C2YxKbHaQKbD2rtuFUSvG94yZEJiFdJZOQUpJJW9lNAqgJWVlF0UEa\n/cf1CaQjx28Dyg3d3cpxX9HHCk1mOoM9jRvjnggTBYaSigmWn0DLdCW7DSyUHk+88Jlod6Lbrzof\nyCyMpFOBSXT/m08eywu/vo/6OT+C6uqDNzLYhR+rpqzWdAgF813yiUKoW+/PVJPYvlhzsydCaFZ+\nfg0wSikZ82mQnZO2ooOtsI8EUBMyraLYMYu0/zHf6+2CfxKAoVX/pNH/lT73GVwyhqFVi2j01wGj\nqBq9Omk70qkyJnquSilKKiakdSLc27yVf725gEb/OSilLDuBThw3i4Z5d4QmIqVYKD1aovCZaHei\nT2+7jacMdI3HyjR0xtN2oIOLHv0/6n8wG954I7R7UV4etLUxvG4rj8z7vel2gnPV0HhrhSZ7f9o5\ngzvVJLYNjzxNzcSrLHmsTMg6nonZsVGEsJddk7Zig62wjwRQB9kxizTeMeHgJKRDh97A6pfnEqgL\nPc5ho1byyRpoCnwVRZCh1cuZPOMGy6sgyZ6rkRNhbGAoKFzAmle/TbBnBvAu8IBlJ9C8/CK+WHMz\njUteNLRQOiQ+YSXbJ33thRdy31NPJd2dKMyO0Bnt7hdf491LLg9VPkeN6nNdfcDPU48+wF0XnRW6\nHNVtb5TZIGr3uFA7Z3CnmsTW4ku+IYDwJtkFaWCKDrZXuN2YHCcB1AQrqih2zCKNd8zoy9EnXq3P\nZMVzrVFjM32GZ7Vb0S4z9w23e1/LVt57dSbBnsvD1wI/ROt/s6ytJ31xImCsrcmqJan2SU+1O5Hd\nwTNs3Z79fbvdo1VVs671YPdTuE3pBlGnQmiq96ddM7hTTWILFqTauzR9ZsZ0Zvs6njJ+NfeZGdMp\nk7aynwRQE7J1HbzoE29rwwaXW2P8RBjdbkVT1DWFwGgqqpdSUnFrxu0xMzs2VVddqn3SEy1t5FTw\nDDvgy0t6fUde/+uj22gmjJqphmY6LtSN92eqSWy+rlR7l6bH7JhONz+/Mg2PMn4195kd02nXpK0+\nwTZqW2FhPQmgJmX7OnheqIKksx3h0Oq72b1DEwqf6/HlHUXN9BMcPQEZGSdW7mtPen3s0kZOB8+w\nomDyD9ZBKT5406mK2l0NDYdQp9+fqSaxlQWNrSZgVjpjOt34/LIiPGY6ftWKJZgGEjdml6czptOO\nSVt9gu3K9y09tujLvr4h4Unh8Pelb5bxpW+WuVZFCJ8ISysnpnx8pRSnnH8jww5/CV/+Vnz5E6ge\nu8aSE6nRE5OR8FlTVsuxw4aFtqSMJ2ppo+HbV7oWPgGOLxkCAX/8K/31HF9qrCvL7PMwM64uWyaG\nTBw3i/J5z4I/5t+93k/5g4uZOP47rrRLa01rwwZaGzaY3kLXStHhsafrMgJ1UyJfPqN5pb0DXbgS\n2fHeOjreW8f89RsH3L+HrEbgDFcroEqps4HfAXnAI1rre2OuPxV4Hvi091fPaq3vdLSROSgbq7g+\nn4/pF9xmafehlVWRcLAysjuRm8Ez7KbzT+XNh57g3ZmXQ1X0Ekx+Tl70JD+f/W1Txxu+fWXCamh7\nezv3L1jAR7t3H1wsf9gwzjz3xshWnYmYrYS6sW1neBLb+w88wPbmZigcAQc0qrGFIydNZV/LNlvG\nLCbrzci2LutU7fVCz40X3rdOSFWJtKs6KmM6Bx7l1jcbpVQesBE4A9gJrAJmaq0/jrrNqcBPtdYX\npDiW/vqcTTa2VuQiq6qfsVW9AwcOxN2d6J5TJ1I8qDDd5iaUzkLYhVOm097RyZ0vLGdt4x4+2fUZ\n7Xn5FBcXcXT5oXy+7BBuOv/UtNobHUTb29u57Pbb4wfyZ5/lv6+bnzKEgvkxoZnsmJTuWMXWhg28\nvrgl0k2s1HxUnh+lRlM1epUtATBRe2PbklfwJF/6ZpkrXzz7h8v+r4WR9mbyb5PsvZ7o/R37vo4X\nQFO994zuguQln+zbT8d76yIB9Im8PAad9DmOOmRIv3Ga71i49iZ4b2H5k5a9idba9W9tSindtnyB\n5ccd/JVZrj4/NyugU4HNWuttAEqpRcDXgI9jbuf6P77IPXaFTzi4O1E0q6onVu260rnqLfKA/xpe\nxNc3bGHn1ddGAuJOYHnAz5sPPcGS2d9OGELbDnRw94uvsW7Pfg748igK9nB8yRBuOr+T4kGF1I+a\nyv0LFvQPnxBZluqVF+/mvIvuSNleJyqhmVYN+1TpdJCenuXo7icBZWrMYryglSh8ZUNvhlWTn5x8\nrgN5CaZklUi71t4Mk65v96Xqme69zanAb4ECoEFrfarR+0ZzM4COBLZHXd4BnBxzGw1MV0p9QOi8\neL3W+iOH2idc5IUlV9IJn/FkGj6tCp3x3Lt2Cyu/NydOQKzm3ZmXc+cLSyPrgUZrO9DBub//E+/O\nvKLPff9RV8vCW+YycfxYuvL/yr927IY9e+D882HQoJjHCC1L9TODk5OMhtDOjjZee/0h/O27aNl/\nwPC2mJlOdOm/dNgMgt2Zz/aePGNO71q+xoOxF7qso6UKj3a2VyYgmSNbgg5cvT3Tc4nqmVZK/TWm\nZ7oMmAecpbXeoZSqNHrfWG4GUCPljDXAKK11m1LqHOD/gKPj3fDjlfdHfq4ceTLDRsZm2ezgheDl\nNrvHrxk5IVkRPjMJnnaGzmgfdqqk64G+X7cr7lWRheyjg+uBA7D4Oep/cj31Md3tPPQQzJ7dL4SG\nl6UyulRTqhDa2dHGE3+5hh1X9t2JyqltMcNBq6RiAjs3PxDZAMJooDoYgi8FPsRfW8euLUvTmu0e\nXXU8dOgcQ58rbn3+ZOsSd26zq8s6USVy3OBifllyKHWtexkFvJtj4zRXN7fyXnOr281wk5Ge6VmE\n5uPsANBaN5i4bx9uBtCdQPQWLKMIVUEjtNZ7o37+u1LqQaXUUK119KKQABwz9Ue2NdQp2TZxAOw5\nYdm5ZaBT1ZB0w6dTwTOsI78g6fWd+QV92lQ4ZTqQYCH7F1+EmTPjdrczcya88AJcdFGfq/K7uvpc\nNrJUU7IQ+trrD7Hjijg7URnYFtPKKlwmgSo0Lv8m4DiC3SPZ8sEStD4vrTaUVk40/Lni9udPNgwn\n8BI790JP9Hjz12/ivD17CaJ5tbSEHx17tKfPT2ZNLi9lcnlp5PL/btue5NY5yUjP9FFAgVJqOXAo\ncJ/W+kmD9+3DzQC6GjhKKTUW2AV8G5gZfQOlVBXwmdZaK6WmEpo01S985ops26vZ7ROWXTKtfqYT\nPp0OnmGDuruSXl8Yc324nXEXst+zp3/wC6uqCu03H62+ns0bNnDgwIE++85nEkL97bugOsFOVCm2\nxbS6CpdOoCqpmEBF9S3s3nEWoUID7GnKo6J6CU0Bc9XUMKOfK0ZuJz003mH3eMxUj+fbs48tbe22\nz44XIensRBfrnXfe4d133012EyM90wXAicDpwGDgbaXUOwbv24drAVRr3a2UugZ4idCA1fla64+V\nUj/svf5h4CJgtlKqG2gDLnGhnfKBm4Bdgdmu8WBOdL1nU/gE+FyhZpnfH78bvr6e4wvif6YUNjX2\n/2WCXZ4iondXCgTgmWf4bPZs7nvqqX6TttINod3JN3hKuS2m21U4pRQ102eyYnEzPd0Hf18zfWbU\nkkTufMnLxS+cRteaHShLMKXL6WqsSM+0adOYNu3gF/T7H3gg9iYpe6YJVTkbtNbtQLtS6nXghN7b\npbpvH66uA6q1/jvw95jfPRz18zxCg11d4fQHrtcmDrjFq+PBrA6fbgbPsBtOHM/bj8wLTUSKDqF+\nP1PnP8gNpx0X935xg2swxZaTtbXw2GOh7e1KSyNjQj96/fW4N08nhOan2DmvdPCg5DfwgNLKiVSN\neYBAXSgsV41eRWll+u8Bo58rqW6XbT00kN6QG6OTC8Pv37bOLu5du4UPOxUd+QUM6u7ic4WaG04c\nb/qxzXB63Uw3Z8cLx6TsmSa0Nvvc3klHgwh1s/8G2GTgvn3IVpxJOP2B69XglYidgdnqSlSm1c9c\nDJ8AxQX5PH/acfziz/NZ16XozC+gsLuL4ws0N5x2HMUF8T8i4gbXkhJIVE31+6Gmpt8YUDg4ESke\nsyG0ungEW5Jsi1ldPMKVxerNsGMowOQZ11D/6UsADD9yTtzjZdvnjxe0dXbx9eXrWfn9a/oMP1nm\n97P817/koUMGUZSXoiyfJqdnq8vs+NxnpGdaa71BKbUUWAcEgT+EVyeKd99kjycB1GPc7gJMJN5Q\nBLtOWG4Me8hk20cz4dMrwTNacUE+t00z9zcXL7jmdRzgk1XvUP+T6/tVU1m0KFTxjKMwReXUTAg9\n9ctXU/v4nNBEpOgQ6g9w+BN/4ysXu9ahYoqVnwNa677LOG2el7AnJ9njSg9NfwmXMauuZt31/8XD\n997DdUNLbHt8p9fNTPR4VlZjk40llXGm9kvVM917+dfAr43cNxkJoEnIB25IsqEIVgdmO4Y9ZDrz\nPbZe7zwAACAASURBVFn1M9vDZybiBdf2rm5+8ef5/GtwOR15eQzq6aG1PsDqK67qvw4ogL+eKYOS\nT4QCMyG0mCsunsfyJfPwt79BT74ir1tTXTyCr1w8j4LC0K5LXq+CWsmqnhypkPaXdBmz6uFsKs6N\nJYpSBT+rqqPJxpLKONPcIwE0CbMfuLk6YcnJoQhujDPLpOvdqFwLn4nEhtLwlp9ffWhR0n3ni5Ps\nJR9mJoTOmHF9yrYOpBBqFbt7aKz8DE31xdOKCUgplzErHASkGJjsMLNVRKPBz4pqbLKxpDLONPdI\nAE3B6AduLs4QzQV2rvtptPo5UMJnPJ2r3qJ4ynSWzP42d76wlHWtbZHK6PGlg0Phs3erz/DrmSyI\nmumOj94RqTsvNEGpungEp375atcroU5+Wc2Wnpxs/AxNuYxZZwcUe+c0m04VUYKfsIt33hkWcasK\nmY0zRI1y8gTm9Mky3eqnhE/jwiE03pae8QxPUQ01EkJrjmjnJ3f23xFpiz9A7eNzuMLF7ning5aT\nXeeZfP564TPU7Az4VMuYHd3eBsX2jQE1y+4wmekYzWRjSZ2e9S/sl1MB1MwHu5NBNd3H8kqXvpMn\nMCsfK5Pqp4RPa4Vfi/BOSqlkGkIXPftgwh2RdlxxHsuXzOvTTe9kCHUyaCX7DLH68yUbK5iZSryM\nWT3H/8+v+GFp9lcJjQY/K8ZoJhtLKrPwc09OBVCjH+x2fFAmqtyl+1he+zDPZOyX2ROdUysBpDPz\n3Wvhc8vStRkfY9zZn7egJcZ0rnrLkRD6aXPyHZH87W/0+7UXxoRaGQqTfYbY8fmSabC2svfDqvGf\nqSRaxmzUdj8/LB1i2xJM6UoVJuNVMI0GP6uqq8nGkjo961/YK6cCqFF2VCASVe5aGzak9Vhe6I6y\ngltB2q7qpxF2h08rQmei4zkRRp0IoZ0pNmXqyXevcmL1l9VEDn6GXAp8iL+2jtaGDZQNO8bUl3Wn\nemGydZZ9vNUgtixtc6k1ySULk8kqmBL8hB1yKoC6PdjebOXO2Ie7Bj5E6zq0LrWmoWm3xTyvBulE\nFRAjXe9tBzq4+8XXWLdnPwd8eRQFezi+ZAg3nX8qeetW29Jeq0OnkcexM4zaHUILU2zKlNcdf4tR\nJ6qgVn9ZTUZrDdwEHEeweyTr33qO6RcYO57ZQGzF569SipKKCexp3Miexo2ODj2K997PxS04E4XJ\nTCuYMkZTmJVTAdToN2gvTKpJ9eFeUjGBw0bdT/3WpaDPRPcMZ9N7/2DKWRMt/0D2Wne/F0WHz3N/\n/yfenXlFn/GF/wj4eeNX83g+ye5B6XAqeKZ67HhhVGvNen9oT/ia6grTfy92htAjy0ewNhDoPwYU\nIjsiJeJUCLX7S1hJxQQqqm9h946zgFkANPlDQbe0cmLKz0CzXx6tqGBa8Vlk58oXIrFMxmjKAvMD\nU04FUDD2we6FSTWpqh1KKSZMnsFndc30dF+B1hCoe9KW6qGdVUo3qtLpjv8y0vV+94uv8e4ll/cP\nNlXVrPzeHH7x5/mmdxWKx83gGU+4PeEgqrXmrqeWcsKm0D/s/00YzU3fOTutEArGJieZCaGXXDiH\n9b+5mg3fipmIZHBHJDfGg1r9XlFKUTN9JisWN9PTHfpdT7dm/VuLmH7BrbZ8BmYarJ3oMcl0/Geu\nTi60ooKZTle9LDA/cOVcADXKya6edD+UlVKgUgxmc0i6XfTZOq4rWnQ33Lo9+5PsfFLNuq7Mnlsm\nwdOJKkK4fe0njOKETXVc2tG7DuLGOtb7GzlueGVax42thiYe5tBJy/gvpjzeoKJi7vjpgyz8y1w+\nbX6DrjxFQY/myPIRHBO1BFMyTodQO94rpZUTGVp9N7t3aKAQ+IRG/9mRUJfsc8ntIU3ZymtfHo1y\na5a5XUtDSVXV+wZsAHW729nIh7tTJ4BDhx7N0KpbafTXAaOoGr26z+Nk+lo5Nasd7K1+AhzwJZ/V\n2pliZ5RkMg2fj/xrIyc3NgEwv2IoVx1n35eqHW9uINht7Q4v4RCabJjDmw89wR/vmkxRUVHcY0RX\nQQcVFXPlpf/V7zZrPo4//jMeN0Ko0Y0vjHwhDFVBv8nriz8k2H0+MBOlnjLcFqe/PHop9Gb7+M90\nAliuTDaSqmp2GLAB1O3JMUY+3J04AWitWf3yXJoCX0URZGj1cibPuCGyVMuexo3sa9nqyYlETog9\nCRUFk4euwhQ7o8RjRcXkk337mby7kSt7L/fsbuSTffs5+tBDMj52PNHddb58Hx9MGM151RVxb9vW\n2cW9a7fwYaeiI7+AQd1dfK5Qc8OJ4/uNl+1c9RZ31+5LOMzh3ZmX88hDv+Kan9ycsG2p1ggN75SU\nrcx+ISytnEj1mFcI1H0AfGAq1Dn55TH8eJl85qU7/tOqLXe9IpsCmB2Tl2T3puwwYAOoFxgdr2rn\nCSA2iDcFfOxt2kRJxYTISU7rvegee4JMPHbNyDdb/YxXATm+ZAj/CPj77mkeVl/P8QXmgo1V3XV1\n7Qc4LOpyXu/v4gVQK7qmYrvrLklwnLbOLr6+fD0rv39Nn0C5zO/n7UfiT9p6v25n4mEOVdWsa23L\neKF6MyE0ugra3dXOxk8X0qIaCBYofF2aMl3JxHGzyMuPX5W1mhuTg5xk52eeVet/el02BTBZYH7g\nGrAB1EtdPV7U9ySnQV1KXn4eKJ+tr1Um3f2x1Y/YvcCffzU0O/qSC+cwqCj1GMB4bjr/VN586Ane\nnXl53xDq9zN1/oPccNpxho9l5Vix0cVF/JXQKD+AV4Dzi/sHIisrI7HddbETlQDuXbsltEtMvx2J\nEk/a6kgxjKGjd3Fvp0Po6hUf8+ZHd9J8zYV9ns9uf4CGeXfwxZqbHQuhZjldyUzGri+YTsx+z9UJ\nSG6zuutfloTKDgM2gGZbVcAuiYJ4+HUJUfjyzuLzpzWjlGJI6Rm2tceqoRGdHW088Ze+e4HXAmsD\nAdb/5mru+OmDDCoqNlX9BCgeVMiS2d/m9v/tu/PJ8QWaG0wswWT1RIWjDhlCSeVQPu39wC2pKDO8\n1t8n+/ZH/vatGKy/ZenaSAj9sFOZnrQ1KMUwhkE9B4dBOBlCmw8soXnOhXHCdBXNcy5kwyNPUzPx\nKkPHykQ2f3l2e+x9PLnW/Q4SwKSqmh0GbAAFb1UF3JIoiMee5A4btYpdW+g9cbR64sSRzGuvPxR/\nL/CqKjZ86zwW/mVuZIJKe3s79y9YwEe7d9Pp81EYDDJ1UDc3nX8qxYMK+x07b93qtJda0lrz0rNv\nAtbOzFRK8f3PTYx84J5j8Nhaa/62eRtn7tkLWDdWLBxCU1Uz403a+lyhZpnfHz+4+us5vrTvidSp\nEOpvT769Z4uvIeUxrODlL8+pqptujr030/2e7gQkr8yAlwCWOxOqctmADqAiJF4Qjz3JaX0mK55r\njXvisLJLLd3qTmz3W9KwUFXFp81vUFNWS3t7O5fdfjtrL+xb2Xqjd8b1ktnfjhtC06G15sZfL7Jt\nYkDsB268sZ6xlZElpYdwbuvejMeKxXusLUvX0tNuftLWDSeO5+1H5oW67qNDaMDPyYue5Oezv93v\nPqlCqBW6U2zrHSywZ8m0eO8vL355trO6meozRhaf78+KACZLGQk7SQAVCUWf5FobNsS9jdUnHauq\nO6nCQlde6Jj3L1jQL3wCkRnXd76wlLsuOivy60zGgL307JuOTQxINtYzujLyDa3pXPOhbY814cB+\n3vHXQ/Xw/ndMMGmruCCf5087jl/8ue8wh0mjR/DzJF8IkoVQK6qg+SlWnfJ1pdj/Mw1G319WfglM\ndqxk1xmpbqbzBdMr3fYDbfxnNs2kF9lJAmgOsGtQf7RkY0Wt7lKzorqTKiwU9ITCxke7d8ffrhEi\nM66tENs1p4E6rSlsa7elspBsFmx0ZURrnfFYsWSP9YOSIaz99a9Yd/1/9Q2hKSZtFRfkxx3mUJii\nGm1nCK0uHsEWfwCq42/vWRZMbxH+ZIy8v6wMaMmOZcXjpPMF04rPGDMrYGT7+p9WyaaZ9CI7SQDN\nck5VB7w87ixe91vSsOD3M3V4aHmiTl/ybtPwjGtIvwISDp/h7m/d2MxLwSCnB4MUfPwJ8z9rcK2y\nYPdYsaK8PB46ZBAP33sPm4oHk1ddkdakLatkEkJP/fLV1D4+JzS2uLrv9p7lDy5mYk3itUntZOWX\nwGTHSvU4RqubVg8f8Er3u1fGfwqRLSSAZjknB/XHO3F4dUZuJCxcGTMRKRBg4p//xnW33wBAYTB5\nt2n0jOt0RJ+UwmHv1d2NzPhoE1cGNfQEbaksmJkFm+lYsVSPVZSXx3VDS0IXWlv7LNNkVuyWnfHY\nNSmpoLCYKy6ex/Il8/C3v0FPviKvW5PXPISJvUswWd0b4dX3Vzx2fUnNptcglwz0mfTCfhJARUa8\nWhkNh4WP35nXby/wO26/IbKV47HDhvFGIBC/Gz5qxnU61c94FRGlFGMGF9OhFKGOeHs4OQvW7GNF\nL9OUDitCaLoKCouZMeP6fr9//51ttvRGGHl/mQ1o4ZCstY48RjgsJzuWkcexY3JUstfASPUz0+13\nYeCN/wTj7+voiUrjBhezpa0dkElLIjUV/hCKe6VSJcAwrfWWmN8fr7VeZ3fjjFJK6a/P2eR2M0yx\nqlLS/6S3ytPLI1ktnb3fo088Bw4c4NLbbus/ESng5+SFoVnweetWp9W2RF1yBwf3R1UWBuDg/lQh\nNNUWnqlCKJA0hCargoK5PeMBXntxKa89GyBY0gTDdkJxgKGlPioKxti+U5LRz5Pw54W/dgrBnpdQ\nnI4vv6DP50a6k5DcYHUATTT+00gATacLPttnmUdPVNJas7CggFnd3QC8kwOTlk5a9iZaa9efgFJK\nb9m82fLjjhs/3tXnl7ACqpT6FvA74DOlVAHwXa11+N35OJB+CWOAs7JS4tUKpBcYWfevqKiIp265\nhUce+hXrWtvoyMtjUE8Px5cOjsy47kzjsZOdjGSNvpB4OyeFGdnCkwwroVbvGd/T3UHwiGfhjiuh\nKvSYTUCTAzslGa08hofsBLtPAPLRzKKnq+/QnWTH8tLyT14Z+5muXJhlHj1RaR2gOzq5PHylTFoS\nKSSbgXETcJLWehLwXeAJpdQ3nWlWboset9nTdRmBuikxOw+ZEz4phE8eIrHYqkd7ezv3Pf00H+4J\nhc+iYA8nlA7h5+d/Je31P41UQsLjLsOz0geyeK9Xyi083wtVAzLtGk3VDWt08fLOjja27H4aJpXA\n3/8Of/wj/OUv0NFxcKekzU9n1Fb7aLSuY1/LVpL1iGUjK7rfjUin+hkd3i7vCTKtN7B5mdaaT/bt\n55N9+3Pub0U4L9kY0DytdT2A1nqlUuorwItKqVHONE0Ie/VZhH7GjMjv/xG1CH263e92yPbuumRi\nx4Wa2cIz1ZhQu3dKCm/7uvPqS/pNeOOhh2D2bEd3SkomPI7TX6sJ9rwEug3UcnTP6axZVsDOzd7e\n4SzMjupnJt3vA0G8iu2/H3s083snKmmtWVSQj6+7G1AyaUmklCyA7lFKjQuP/9Ra1/eG0OeAGkda\nl6NkVqc1kp2EjFSujCxCf8uYQ021ya6lWHKhuy6V6BCazhaeydi5U1KybV+ZORNeeAEuusi2nZLM\niB6yo/W32deyjbXLZtDTfUW/rnhhr2ybZR5vXdAtbe19hhPdGTUJaaAOLRLGJQugVwM+pdSxWuuP\nALTWe5RSZwOXONK6HCXjNt0R2+2WahH69+t2wZgJho9v5zqATiwK7aUK66A4W3RGi93CM9OZ8ZlU\nQVNt+0prK2DPTknpiB7HqZQC1eJyi8wxWv10qvs9XeGx4J/s209d+4H/n703j5OjrvP/n5/umZ4j\nycxkkpjJHc0B5JIbZBUQFBDECxUiGlzA5QtB2d/+FsHF7yIICur6E1ZEFuIugQXWA5VLFAgbPEgC\nIThxck7i5ICZMZlMZjJHpmemP78/unvo6anuruqq6qrqfj8fDx6ku6uqP11TVZ/X531yZpV7SWpu\nkl7GLdMzyU/PF8EfZFySa63f1FrvBH6qlLpJxakGvg+sLNgIixSJ2/SeXEXorVrZgkzSwjqwsZGB\njY2satruSYxXUsQvjWhoazPeKEMLTzOu0mxdbvKNB83V9pVw2LVOSXaJe2M2EC5/hHD5I9RPXYPW\nWuL7EtjJfjcbL7m2ZT8NW3cSfWOzJ/ed2XHOH1fNq/UTWR0OszocZt2kOuabtNj65fki+AszPqHT\ngFnAq8AGoBXIXf9EEDzCbOJIriL06Va2bLjdBcXOw98MfkqI2PX8Jm4+cT6nPnTfWBGabOF50nzD\nfb1ISsrV9pW+vninpPmX2xiZNbTWdB3cRtfBbVkn+qQ35gOfrKV+6nN0tH2Q3/+yi9d++8O8BILZ\n780Xu9bPTDjdftOs4PL6vrMiDJMW24qTllJx0lJLIUBe/07Bn5gpRD8E9ANVQCWwW2vtD1+S4Dh2\n6/wVqk6g1SQEI2ERL0LfBlMNkl0yWNm8otRKN731YiPfXjKdVf/577RWjCNaVm66hWehk5Ky94hv\nZXrbICctvt3VOqCpWC3zppRCKcWh9guJDVnvqJZa2H7767/jb/tOM/W9XlAo93tQ+qhbHafdrmmC\nkIoZAboBeAo4GZgMPKCUukRr/RlXRyYUHLv1SQvVl94pvn3WMfz5/tWsX75itAhtT1jZzlmSdX+t\nNU1tHez/47aCxDS5+fD3U0LESMLVK+v4SFmYPx8zm1suv8DR8+tkUlK2HvEzVz/HFV98mPJIFW+u\na3Hk+3LhZnve9AUm8M49r2MMDx8G/XlAOZ7Q5Jb100v8dN+5San8TsEaZgTo1Vrr1xL/bgU+ppRa\nkW0HIZjYnbgK2ZfeCaoqIjx37aXc8fTzo4rQL+nrzGll01pz56PP894de4kNDfsqKz2fYP90C+uV\n1VWOJgxYGdMoq8xwDLbvpamtgyXTzMdQFjIpKVOP+Iaq6XzwM/dRHqkyPW6vGKnMsSduCZs6e+OY\nyhxGC8yFJ31o1D0fby+7GVhWuMHbxI3uR2YFl9eejdRxaq15rnY8n0zEADs5Dq9/p+BPcgrQFPGZ\n+t5qd4YjCPbI1XoznaqKCHd++vxR75mZeJraOnjvjr18fiARJ+qhiy29F/Oqph15lWtKWlidLvlk\n93ixofwifgotQo16xKdy/OlzC2IFzbfMm9Yazf6Rf6djtMCcMb8FmDiyjVLDqPDTKPVnR8vLOVH3\ns5DZ71YEl5du7dRM/GebW7io60g8GcqhBXX6wlPc90IqZiygQolgtz5poeqbWp2M+vv7ufexx9hy\n4ADRUIhILMapFUPccvHZY7odBa3odLq4u7dmAud2dbMilhAQeQhjp+PXrB7PyHq0+M29YMECmsSM\nCM2G0+06U0Xo0GA/23c/zmF1kFi5IjSoqdOTbfeNz6fMW3fHdv6277SRGNC/7XvElPdiXO1cps5+\nIeWe/zMLT/oQSinHystZud+9Tj5KJSjxkskY4A93H3E0ZtXMwlNKM5U2RSVAC5UAU6zYrU/qx/qm\nA0f7+MLdt48pOP+HlG5H+bTcXNwwiUdraoh5HNOULu5iXUfYV/BROEsm61F6tySz2E1KykU+IvT1\n32/lj1vuoPP60dflAYf6xrvRs91ogVk7+XpOOf9YX93zRli1ftpxv3uNX0RdroVnKTTXELJTNAI0\naAkwfsXuxOXGxGeHJ37xo5zdjtJd8Gbwa0xTSEFjTQ2ru3uA/ISx0wkD+Rwv3XqUnFT7Ww+yuGFS\nXue67+gA33pmLY3dvRwNhamMDbOsZhy3XHy2LVc8WBehnUefo3OlwXWZ7Bv/0H+z+NirTB/PLma8\nF9kWmLWTj3XFAOCm9bMYyVfUJe/RWEd8vw317i+og1IpQHCPohGgQUuAEZzHaAJqP7ILpmbqUtNA\nY9c7teisuN93Pb/JFy42I3H31UUL2dXXj9aaM4k/6K1YQpwW13aPlzqp7trYyK8Wv9tyVvzhP67l\nk6/tZf3yK0aJvhdTLOF2RagVsnZP8qBvvFnvRaYFppMGgGRoQmxiL5uejddZbaiaztlnXZdXQlcm\n66eb7nevsCPqtNbsJ76I0tgvQWd14RmTBgglR9EIUMEdgh7WkKvb0UA4Vxsbf5NJ3M0fV23LveW0\nuLZzvPRJdXVTi+Ws+Ls37WL9ZVfZsoQ7GQ+aq3tSrCxE18FtQOHuOzveC6cMAEOD/YahCbva2tnz\n8EquyFBVwEnrZ+pCtC86yN2bdrE5qhgoK6diaJClEc3NJxo3QvAfmj2J3uzZFqHNvX2c0Xl4JHZ8\n9aEu29bIXAvPpEAdPNBBGHghFqOmZR8Llkh3wFKhaARooRJgipFMItOPYQ1WE5BydTuqGM7VxmYs\nfov9MhJ3bri3/BJbBrD/j9tY8un3m95+c1RBg0HDARhlCXe6SH0mcnVPOtLWwisvHgYdo77h27zv\n4psJ5VhMFQPbdz+eMTRh/xUf5eXn7htTbSAf8WnG+tkXHeQTLzex4UvXjxrPmrY2Xv7ed7h/fAWV\nPlvAjrY6ah4Ll7F8yw4GlPIkxjLbwlMpxVlzZ9LccYiPxTRXAI84IHyF4FA0T7SkC+nMT9Vx5qfq\nPBdKQSEpMl958jCvPHl4VAu+VKvG8OAXaN97yohQDQqLpkyB9nbjD9taWVYrxZDN4GUv50xtSK0s\nBAbKyrN/niIk7LpmzQiihqrp0JbhumxtZXBfQ/y+G7qCA/vP4tWnbzN9vt1uh2lEek/5uAHgGMvH\nOawOGneUAmiYGg9dsICd0kt3b9rFhqtXGojhBhr/+UYe6OrN+9hukdous+24BSwfGuSKmM7Z/tLt\nVr/ZxjtbKZYBMluXHkVjAQX/JcAEgWKJnc1U/3Pe5Zfz2m23jU1Eam/jtCce4evXXgoEr/xSLpxO\nJPIyYcCJmNSKocHsn6dZwt1OSsrWPanmnsfo6fxYShRehI62xabuyxGvxZ6TAZg6pzBeC6cqYFRP\nyh7jOVw2+phOJx6lPgeyWs0bprGjyp+L12QIzp6+fvYRbw2Q6yx5lVTplw5JfvLulBJFJUAFZymG\nsIbKykoevfVW7nn0UbYcPAiDPVQMD7Ostpqv51GCyYzVzQ8PM79m6edLJlee2dJMSyOaNW1txoIi\nD0u4WRG67s1e1r5yP239bzMUHp1Qk6l70tlfepQH37qBA/vLgQjQBJizJnYd3Ebr7uPR+goAWncP\n0XVwG3VTjrP0+/LBrgHg+NPnsvmp7NuEh8xbdO0mH+WymkcjFYD1EB47mHm2pCbtDcY0nwfOC4VY\nn0PceZFU6YfnlJSD8g4RoD7Ay0SfbCLTj3U986GyspKbrr4acD/z1U8PMycnFL9YKowwI0JvPnE+\nrz50X9ylmipC0yzhqdiNBx042seTz13Pts9+dFQlhtSEmkzdk6698wHuv+WLdLQtAY6hYc7rphZ/\nPYdb0Lpm5LXWYXoOtxREgDpBQ9V0drW1G7vhW9vioQsJ3LR+Qm6reSQ6AFWFm0IzPVuAUaI03VsR\nDoVoX7SAq6bkV77MbbyuJiLloLxDBGgBMRKaXif65BKZfgprcKIdnxFOut+L9WHmB0tFNnKJ0Kry\nMn59zhLu+tkqGgcV0bJyIkODHD97elZLuB0R+sQvfpQQn+YTapKEQiGu+9bDvPLsbwHzi794zOfz\nxC2nAL9F6wzlnnxE8t7OFpowc/WzfPAz95k6nhOll7JazVtbWdjfB1U1Yz9zCaNny86eXta27B8l\nSs+cM3PUfiGlmFNd5av7VRBABGjByCQ0/RCD6SeR6SZ2rZ9+y34vNF5bKuxSVV7GbaePvc4jOcIw\n8hWhuzvfzlyDtmEqbf1/yPq9SinO+ugFlvrHv6Mx9hq8509SF5blkaqMoQkfTCnBVIii8xmt5m2t\nLPu373JNrXv3grkwHs36zsOc1nFoVOtd5szkVZ96K/yIn707xY4I0AKRSWgK7mAn+9UOpfww8zr2\n1a1WnZBfu85ojhoj6Qk1mUgKNDNCdHzdu4FxQHKskxlf9y5T3+MFRl6N8khVRssw5Baf+Vg/jbwg\nRlbz4bYOFvb3cU3tONdKMGVytRuVWHr/rj2k14z3u7fCb8j58g4RoB5TDIk+XuOnFnz5Psy8Fm92\n8Uvsq5siNBtGVtBI9hK0lhJqIC7WconQ2snHMn3eC7TviSfQTJ3TSO1k/z1P3AqncXrhmW413/V8\nl+tu92xhPMlny56+fpZv2cEKDbcA/wUQCrEhseANurei0Mj58gYRoAUik9AslkSfoGI2/tOK+93q\nw8wv4s0Ofop9zVeE5sKqK/49E6ezqb19bAwojEmoMUsuERqE54kd8ZnvYtOq9dMIP4TgpD5bBpRC\nobkTuDMUIuLjRCNBMEIEaIHINjGUSgxm0Nt6uoWfxFsp44QrPlWEXnbJSpq+f93YRKR2awk16eRy\nyfv5eeKm+PQq7MZpzITxpG/z9qQ6y+Iz6F4XIfiIAC0gfp4Y3MbrbH+3yy/ZQWvNXq1pBJZm2cbP\nk4XfYl+9jAdNitCKyiq++U8/4vGf/5DdnX9gMKwoH9a8Z+J0ln/9RzT9tdLy+FIx45JPMjTYz/bd\nj3NYHSRWrggNaur0ZI6d9znCZfbGYRYvLJ8QPOtnehjPldVVY+59u3GLxeB1EYKPCNACY9UKGHSr\nYXL8PYf/StueU4gN5Zft71bMmNdorVnbsp+TY5o3gLuBmvpark4Rb0GYLDJNiF4KZ7+I0C9+/kbD\nbU48DlN947NhJkFpaLCfP265g87rR3cDO9DWzsH7vsn7F/9fV0VoIe7dYrF+Jkm62rPd+7lCfbLd\ne+J1EfyACNACYtUKmNy+bc8pwD4mNTzO+y6+lVAoR3ptlu8vpJgd9Xt1LbHh3wFfwO2uv05PRm5a\nP0YmguQboRCVc2cFcrJInxD9IJzdigd1ilwtO82STYhu3/04nSsvMaxH2rnyErY99N8sPvYqh90Z\nBAAAIABJREFU22PINi472HG9+9nzYYZM936y4DwYL+z8cO8JQi5EgBYQqzU/uzu2J6yG24AlHNg/\ng1efvoszPvY1yw8SL1zg6b9XqSFU2bdQarZj2f52XHN+7P8eSlg2/EAu62Wuz4MinI1wOh40G3ZF\naHSgb0y7z1DnuBH3+mF10LizEEDDVA6HDub93ZlwyurpZoULt93vbln/Y7EYP3iziXO7ugkpZSgu\nc917fguZEfyDUuoC4AdAGHhIa313hu1OAV4FLtVa/yLxXgvQTbxH7aDWOmvtOhGgvmcfsAT4HACH\n2lReher9UPA+VBbhxHMmML6uzpfZuV6QT8JBISaLXBaUIFlY/OCKz0W+IjQ60Mfqn1/P/i+ObvdJ\nWzv9D3+HE+Z8lVh59r9JrDw/j4oRTrrbzYhPv1o/nbo/xtz79XUcaG7hosPdfDH+TdDRmdfC7qy5\nM9k7dTKzqyq5avw4X967QmFRSoWBHwIfAt4CXlNKPaW13mqw3d3E266looGztdaHzHyfCNACYrXm\nZ82kY5jU8BgH9s94503l3GThNka/d/o8EZ6pmEkm8KJQci4Lihnrpp+sLLue38R7zj+eprYOABY3\nmMsY9rsIXfvK/fG2lRnafc5+7hnqxlXSkeUYocEcBUtN4HScp13xmQu3vR9OWf/T7/0ztaZ5YyOp\nvbtiBpeM0b13ZXUVO3t60Vrzv3/dxxmdh2kAXpk0kQWJnvJCyXMq0Ky1bgFQSj0BfBzYmrbdl4Gf\nA6cYHMP05CQCNAW3YySt1uhTSvG+i7/Bq09/m0NtClQob9e1FwXv/VKT0I4lpBDZr2bqhgaxULKT\nwtmuO1Nrzde+9wR/190NwK+Omc0tl1/g2PXopAgF88lJbf1vQ0P2dp/Tqmewq63d2A3f2kZdbLKp\n70rHreQiJ9zuTlk//Vb7c2dPL7OAvwCPAVFgTe0Ebkhb2Bll0q9q2sH7DnUS05ojMf1ONH6AQmME\n15lB3O2aZD9wWuoGSqkZxEXpOcQFaOrDSgMvKqWGgQe01g9m+zIRoAnsxEhaEa5WSzGFQiHO+Ni/\n2BZxXonBUi49FWRyWS/NWjedEM5OuDOTFqnPJy1S2/fS1NbBkmm5xZfdLklJzIpQMG8NHcrRDXK4\nTHH2Wdex5+GVcUtpqghti9cj/ezn4j3Ws2XSF6oKhVnxacf1bmT97IsOcvemXWyOKgbKyqkYGmRp\nRPPZ4eG8Wm66Zf2fP66ahybVc3pHJ7uBzXUTuHHZIsN7IV24jrLIApuBZbZHJASJdevWsX79+myb\nmFn5/gC4WWutVfzCS734/k5r3aqUmgK8oJTaprX+faYDiQBNkG+MpNvJPU5aZUUMCulksizmsl4W\nKixAa81LBzo4reMQK5K+xjwsNlprBlMm32h0CK3Nu7ud6hfvtAgtG85+jPCQpjxSxRWfuY+Xn7uP\ntv4/MFymCA9pGqqm88HPxMUneF/qzAnxmQ990UE+8XITG750/ahQhjVtrbz8ve9y//gKyyLUrfsj\n9bgLgI/kedxh4KlQiDeVkgSkgGD2uZGNCcfO4UPHXjry+t5///f0Td4CZqW8nkXcCprKScATietu\nMvARpdSg1voprXUrgNb6gFLql8Rd+iJA3cLN5B6vi7cHEbOTkx8z4AtNLstiLuul22EByfHN6Dhk\nHOhmkZeAqsS/1wALLe7vRxHaUDU9q3s92e6zPFLFeef9s6nv9AKnst3zsX7evWkXG65eaRBHO43G\nf76RB+7+NjfUW+//7tb9kc9x51VXcU/NBGJdRwgp2Fg/kTPnzkQpVZCYciEwvA4sUErNBd4GLgWW\np26gtX5P8t9Kqf8EntZaP6WUqgbCWusjSqlxwHnAbdm+LDgZLTnoOrjNkkUjnXiM5AbC5Y8QLn8k\nESPpbWB2qrgdHvwC7XtPGbGGlhJeW2aKldREiRXDMU5PWBb9QnJ8t8Q0O4D/Av4rFGLdpDrmW7TY\nKKU4P6RYQrymxPnlYdcmXTPxh1aseCcepzIKtLPPuo6ZDz8Dbe2jP0i41z949krT3+MVVsSnG4lH\nm6MKGhqMd2qYxo4q42tNa83Ont6RxB6ncPq4WmtWNe3gQ13d7EfzbO0Erly8kIUTxrNAst+FFLTW\nQ8D1wG+BLcD/aK23KqWuUUpdk2P3BuD3Sqk3gfXAM1rr32XboWgsoK88ediWhTDfGEkvknuE4OOn\n1pqaeDzYXq2Z7+BE6hQKuBO4MxQismiB5Z7X8E7snErG5NXVcnHDJMtjMRsP6rQlFIytoWbd637F\nSfGZb+LRQFl51s+jkQriTut3cKsMWabjAnk/L0YWmgkvwuquHnb19UvSkWCI1vo3wG/S3nsgw7Z/\nn/Lv3cDxVr6raARo3EJoz/2dT4ykm8k9Im6z42aRanAvA9YvNTTnj6vmwYl1PH/wEOcB02IxXmnZ\nz4Il/qjnmZ7I8fakurzEJxjH5O3+7Zuu1QeFworQQrnXjYreN1RN5+yzrrMsdgspPrOF3FQMDWbd\nNxIdgKrRU6WTTRZSF6Na6zHH3dnTy9qW/Z4/LwqJnxbognsUjQD1EreSe/xSxqjU0FrT1NbB/p5e\nVx5+fukQpJTi7HfP4uihTr6YsI6UH/JPSRanEzmMYufcLFIP5kToeyq2cetPnmF359tEQxCJwXsm\nTueyS1ZSUTlW1Fkt1eQUmYre72prZ8/DK7nCpMXV6sLR7T7vSyOaNW1txm741lYW9vdBlfUYUDOk\nL0afrZ3ARWnb7O0/mva86OSlAx3Mqa4y9XxKXchprXmudjyf1BqttS/nE78s0AX3KRoB+k7cZnFZ\nCCVz3R5W3XJaa+589Hneu2MvsaFhTx9+hbACKKUIKYW56huFx8/1T50oz9Tf388Xbr+dTZdcMkrU\nbWpvp+n71/HNf/qRoQgF5/rImyVX0fuXn7svpyXWDfFpx/oJcPOJ83n1ofviiUipIrStlWX/9l2u\nqR17/TlVZil9MaoPH+GF2gnQ3TNy3DOrKomm7DM4HCO6ZQcDGdpwppNcyO3s6eXZ5hYu6jpC9I3N\nvhV2flmgC+5TNAL0zE9Je8dMuF1gv5hoauvgvTv28vmBhFvOhYefmcmrUFYAP3Ur8op8raBmyWYF\nvfexxxLiM03UTZ3Kts9+lMd//kO++PkbMx67kNZQM0XvM5FPuIwT4tMMVeVl/PqcJdz1s1Wsbz1C\nNFJBJDrAwv4+rqkdZ1iCyc0ySxfNnztyrOS9mLxHY1rzUizGf8c0Cm36+aSUQinFh7uPiLATfEPR\nCFCxEhrjViknEbX5Y2by2tnTy4yOQxwf0ywF1yYLL9p8WqFQsWBeueK3HDgwVnwmmTqV3Z2ZRV0q\nhRCiZoreG+GG+Ozv7+cnP/43Grt7ORoKUxkbZlnNOG65+GyqKt5pVGm23FpVeRm3nX5sIu57OB7z\nmcPt7oR13nABaJCZnrRg/mTbLpYf6Ump/O2N58LN+1IWxaWDpwJUKXUB8ar6YeAhrfXdBtvcC3wE\n6AO+qLX2vjeaDewIt3z2daNOqdv1SYcG+9navJrWo1uIRjTPN8WoiGqOm/sBzj33Blczexc3TOJX\nC2fDjr3EhmKuPfyyTV5aa55tbuHcmOYvwP8AC13MTverm9tNK7CTE6gdERoNZa+ENxi2Ni43haiZ\novdGY7GKGfH5TtjCO+L9xfY2/nj/ap679lKqKiKWav32RQf52i/+xPbKcUQjESLRKMcc7eUfaowt\noE5hdgGYtGBe3tvLdlLacNaMbcOZCaeEnZn7MtP9Zea+8/uiWHAOzwSoUioM/BD4EPHq+68ppZ7S\nWm9N2eZCYL7WeoFS6jTgfiCDD8hZ3LDwxWIxXn36G3S0LQFm0TDHWrtPvxSl7zq4jfY9JzM85Hzx\n/aHBfv7YdDudX/4MTP1o/D3gaHs76x5ezb4ntvDFyx6wJUKzTUxKKW75/AXxJKQ/bvPk4dfc2xd3\nlSVe/xfwXN0EvuqSFSDXpGD0eSEsk27FgmWaQO244vMVoZFYLMvWUD6cn5B0Q4iOKnp/9Cg88wx0\nd0MoBH39HG2PMhjt57T35n+dmnG73/vYY2z61KcMwhYaWL98BXc8/Tx3fvp809850gnppltGHXNd\nWyubTHRCsnsvWFkAKqW4E81m4p2MLkxx15vZ1wlhl+u+zFZKyuyC0q+LYsFZvLSAngo0a61bAJRS\nTxBvcL81ZZuPAQ8DaK3XK6XqlFJTtdbt6QdzEjfEntaaV5/+Ngf2nw9EgCba9pxsWriZsWQaiWan\nSzlprWn60+MMD5l/wFth++7H6bz+04YxcVyxgreef56X/zd3soMdlFJU/Xmffx6AoRCfnGd+orFC\nLmuG0edXLlrIqqYdgc1SzTaB5hKhmXqG33zifMhDhC6aMoU/tLcbu+Hb2jh12viRlwNH+3jiFz9i\nd+fbHI0N0rFnF1RWMnnabCoIGWbOp1oh7YrRkZ7yl30YfvkkLF8+atxvt7fzi5+u5PhjMidOZcNs\ntvvu/c1w3nnGH05tYFNnjyXrZ7wT0nV5dUIqZMa2UVmyj1h8RhVC2GW6vwBJLhJG4aUAnQHsS3m9\nHzjNxDYzgTEC1MmSEm64rbs7tnOo7YPAFYl3HgP+CkzMul9SVPYczr5tNtFsVMopXwtvd8d2Oto+\nAmwj6Qiqn7qWmklfM7V/Lg6rg5m7kkydCkNDtB192/Bjt8u1FIr0iWZDIi4sH3JZZ3JZM4w+X3Pw\nUEEmEq9iwTKJ0Mw9w9t49aH7+PU5SyyL0Bsuv5zXbrttbCJSezsnPPkkN9x6K5WVe3ijbQr/9/sr\n2fbZj0Lt8fDjH8O1V8HUqfwtsUuuzPl0l7hVQZosev+fq67g7esuyztxygiz9+60fRs4GsruEn/9\n7QP0L55CVbm56W392z3QMM34wyydkKDwGdtnzZ3J3qmTmV1VOfJM2NnTCxSuXqbEaApO4aUANfv0\nS7+jDPd76fEvMGPeqaBg8ozTmDIjXcv6AJUa7xVlUkMTNZM+k3HzVFGpdR2RisdGPku3ZGYTzeml\nnOxaeOPb3QlsJlT2NIvP+KRjD75YeY7jhMMZkx38jllXXb6usvTjg3mXlx9xKxYs3wk0c8/wBjZc\nvZKP3vMdaqdMJtp0MGNSTCpJEfrorbdyz6OPsuXgQaKhEJFYjEWTJyfEZyUALzx7V1x8Tp0KP//5\nGOsjYFkA5hejWc1z82bxdpZFotnEqSRWxCdAZSx7MGrPlKnctbGZ2043ZzCIRoz/Pu98PrYTUqFJ\ntbQ2AK9Mmsh8jzwRue7LbPeX34Xr651dbOzs8noYJYOXAvQtYFbK61nELZzZtpmZeG8M/T3XM31e\nnSNxiG50IBp1TB2jvmEt77v41qwPi3RRGQVOOreT8XXvtlVyyo6Fd+y5aad2cmYRbZXQYI51yfDw\nmGSHIJCvqy7ZF1oplVW0Gh3/A7NncFrHoZEWfEbWmVxizKiI9ScqK1g7sQ4SD2o3JxI3XIZmhK2R\nFTR7z/AGNs6aD9ddN/JWelKMEUkRetPVV2cd86hs+e5uRzLn8yWaPW/KdOKUFY9FarmlZTXjeDFT\n4fi2NnjXu2jce9jUcXc9v4lINLu4NOqElKRQ1kAvPRFGZLsvs91ffk8uOnliLSdPrB15/R8t+7Js\nLdjFSwH6OrBAKTUXeBu4FFiets1TwPXAE0qp04HDbsd/gjsdiMYe82t5BauPr3u3oVAsVNtOt7sz\n1enJHMg2uYTLaKia7tj3FQorrrpUMTk4HGMNcF5IsWpyfUbROvb4nfxn/wCfi6WK9bHCPZcYMypi\nPbjpL4TqJxI5cQlKKcOJxO+t9MwI23QRmqtnONVpwsNkUoyZbkmjsuUdzpy3SiR73pSpxKl8xSfA\nLRefzYO33cORG/5xTNgCTzwB115L9IF7TR//mKO9rGtrNXbD5+iEVKiMba01MRcrYSS/w6l7NtP9\nJclFQiqeCVCt9ZBS6nrgt8TLMK3SWm9VSl2T+PwBrfVzSqkLlVLNQC/w95mO57TgSndbe3FMK6LS\nijC0K1bdODdJjp33OQ7+8DY6V34apqWI0PZ2WP0IM4Zq+OBlK135br+QLiargCU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OAAAg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\nSWrqLwJEMxsY42/hAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121a2bf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "\n",
    "# Parameters\n",
    "n = 1000\n",
    "test_proportion = 0.3\n",
    "\n",
    "# create dataset & split into train/test parts\n",
    "Xx,Yy   = make_moons(n_samples = n, noise = 0.2, random_state = 1)\n",
    "X,x,Y,y = train_test_split(Xx,Yy,test_size = test_proportion, \n",
    "                                 random_state = 2)\n",
    "\n",
    "# train rvm \n",
    "rvm = RVC(kernel = 'rbf', gamma = 1)\n",
    "t1 = time.time()\n",
    "rvm.fit(X,Y)\n",
    "t2 = time.time()\n",
    "rvm_time = t2 - t1\n",
    "\n",
    "\n",
    "# train svm (and find best parameters through cross-validation)\n",
    "svc = GridSearchCV(SVC(probability = True), param_grid = {\"C\":np.logspace(-3,3,9)}, cv = 10)\n",
    "t1 = time.time()\n",
    "svc.fit(X,Y)\n",
    "t2 = time.time()\n",
    "svm_time = t2 - t1\n",
    "\n",
    "# report on performance\n",
    "svecs = svc.best_estimator_.support_vectors_.shape[0]\n",
    "rvecs = np.sum(rvm.active_[0]==True)\n",
    "rvm_message = \" ====  RVC: time {0}, relevant vectors = {1} \\n\".format(rvm_time,rvecs)\n",
    "print rvm_message\n",
    "print classification_report(y,rvm.predict(x))\n",
    "svm_message = \" ====  SVC: time {0}, support vectors  = {1} \\n\".format(svm_time,svecs)\n",
    "print svm_message\n",
    "print classification_report(y,svc.predict(x))\n",
    "\n",
    "# create grid\n",
    "n_grid = 500\n",
    "max_x      = np.max(X,axis = 0)\n",
    "min_x      = np.min(X,axis = 0)\n",
    "X1         = np.linspace(min_x[0],max_x[0],n_grid)\n",
    "X2         = np.linspace(min_x[1],max_x[1],n_grid)\n",
    "n_grid = 500\n",
    "max_x      = np.max(X,axis = 0)\n",
    "min_x      = np.min(X,axis = 0)\n",
    "X1         = np.linspace(min_x[0],max_x[0],n_grid)\n",
    "X2         = np.linspace(min_x[1],max_x[1],n_grid)\n",
    "x1,x2      = np.meshgrid(X1,X2)\n",
    "Xgrid      = np.zeros([n_grid**2,2])\n",
    "Xgrid[:,0] = np.reshape(x1,(n_grid**2,))\n",
    "Xgrid[:,1] = np.reshape(x2,(n_grid**2,))\n",
    "\n",
    "sv_grid = svc.predict_proba(Xgrid)[:,1]\n",
    "rv_grid = rvm.predict_proba(Xgrid)[:,1]\n",
    "models  = [rv_grid,sv_grid]\n",
    "model_names = [\"RVC\",\"SVC\"]\n",
    "\n",
    "for model, model_name in zip(models, model_names):\n",
    "    plt.figure(figsize = (12,8))\n",
    "    plt.contourf(X1,X2,np.reshape(model,(n_grid,n_grid)),\n",
    "                       cmap=\"coolwarm\",\n",
    "                       figsize = (10,16))\n",
    "    plt.colorbar()\n",
    "    plt.plot(X[Y==0,0],X[Y==0,1],\"bo\", markersize = 4)\n",
    "    plt.plot(X[Y==1,0],X[Y==1,1],\"ro\", markersize = 4)\n",
    "    # plot 'support' or 'relevant' vectors\n",
    "    svrv = None\n",
    "    point_label = None\n",
    "    if model_name == \"SVC\":\n",
    "        svrv = svc.best_estimator_.support_vectors_\n",
    "        point_label = \"support vecs\"\n",
    "    else:\n",
    "        svrv = rvm.relevant_vectors_[0]\n",
    "        point_label = \"relevant vecs\"\n",
    "    plt.plot(svrv[:,0],svrv[:,1],'co',markersize=8,label=point_label)\n",
    "    plt.plot()\n",
    "    title = model_name\n",
    "    plt.title(title)\n",
    "    plt.xlabel(\"x1\")\n",
    "    plt.ylabel(\"x2\")\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 4: Multiclass classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xEG/ECdSTNOzKFXWcmDN/qeZdMFvGfN2X4yH+iBOIM7+qeypZylVrU96gdWeG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M0TR3/qBl+aNVcnywzjXHWyDGkAdTbx0G0zY9Ex+7kQBEGwEKXGxZRPjETWXEKGZs1hOpBI7IkA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\naJy8Zcz9Wn7x0sTXC6CKZE8Ig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      "text/plain": [
       "<matplotlib.figure.Figure at 0x125281f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0cxeTPS5gooeIiOwIS/LDDKdfM6t7iMgPTFxY4+b7FsSlvVHZfp3cxWQPEY1T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\nypYAQwKP03abMgzdjJgUu3EtlVDZFI4Qt9A2rSqaN7ttYHhryVjcWtI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RAAAg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\nY0tblFQvdfQNKFidvfa9WfrDy5dSyH7Pg0+a+P67/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1214bda90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.99      0.98      0.99       106\n",
      "          1       0.97      0.95      0.96        96\n",
      "          2       0.96      0.99      0.97        98\n",
      "\n",
      "avg / total       0.97      0.97      0.97       300\n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.99      0.98      0.99       106\n",
      "          1       0.97      0.97      0.97        96\n",
      "          2       0.98      0.99      0.98        98\n",
      "\n",
      "avg / total       0.98      0.98      0.98       300\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import make_blobs\n",
    "from sklearn.metrics import classification_report\n",
    "from matplotlib import cm\n",
    "centers = [(-3, -3), (0, 0), (3, 3)]\n",
    "n_samples = 600\n",
    "\n",
    "# create training & test set\n",
    "X, y = make_blobs(n_samples=n_samples, n_features=2, cluster_std=1.0,\n",
    "                  centers=centers, shuffle=False, random_state=42)\n",
    "X, x, Y, y = train_test_split(X, y, test_size=0.5, random_state=42)\n",
    "\n",
    "# fit rvc & svc\n",
    "rvm = RVC(gamma = 1, kernel = 'rbf')\n",
    "rvm.fit(X,Y)\n",
    "svc = GridSearchCV(SVC(kernel = 'rbf', degree = 2, probability = True), \n",
    "                   param_grid = {\"C\":np.logspace(-3,3,7),\n",
    "                                 \"gamma\":[0.1,1,10]},\n",
    "                   cv = 10)\n",
    "svc.fit(X,Y)\n",
    "\n",
    "# create grid\n",
    "n_grid = 100\n",
    "max_x      = np.max(x,axis = 0)\n",
    "min_x      = np.min(x,axis = 0)\n",
    "X1         = np.linspace(min_x[0],max_x[0],n_grid)\n",
    "X2         = np.linspace(min_x[1],max_x[1],n_grid)\n",
    "x1,x2      = np.meshgrid(X1,X2)\n",
    "Xgrid      = np.zeros([n_grid**2,2])\n",
    "Xgrid[:,0] = np.reshape(x1,(n_grid**2,))\n",
    "Xgrid[:,1] = np.reshape(x2,(n_grid**2,))\n",
    "\n",
    "\n",
    "rv_grid = rvm.predict_proba(Xgrid)\n",
    "sv_grid = svc.predict_proba(Xgrid)\n",
    "grids   = [rv_grid, sv_grid]\n",
    "names   = ['RVC','SVC']\n",
    "classes = np.unique(y)\n",
    "\n",
    "# plot heatmaps\n",
    "for grid,name in zip(grids,names):\n",
    "    fig, axarr = plt.subplots(nrows=1, ncols=3, figsize = (20,8))\n",
    "    for ax,cl,model in zip(axarr,classes,grid.T):\n",
    "        ax.contourf(x1,x2,np.reshape(model,(n_grid,n_grid)),cmap=cm.coolwarm)\n",
    "        ax.plot(x[y==cl,0],x[y==cl,1],\"ro\", markersize = 5)\n",
    "        ax.plot(x[y!=cl,0],x[y!=cl,1],\"bo\", markersize = 5)\n",
    "    plt.suptitle(' '.join(['Decision boundary for',name,'OVR multiclass classification']))\n",
    "    plt.show()\n",
    "    \n",
    "print classification_report(y,rvm.predict(x))\n",
    "print classification_report(y,svc.predict(x))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example: Pima Indians Diabetes dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this example, we test Relevance Vector Classifier against SVC and Random Forest Classifier on a real dataset. Classification reports below show that RVC performs better than SVC and achieves almost the same results as RFC.\n",
    "\n",
    "P.S.: For some reason (numerical issues probably) SVC with polynomial kernel did not run, so we used only other kernels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data = np.array(pd.read_csv('pima-indians-diabetes.data.csv', header = None))\n",
    "X,x,Y,y = train_test_split(data[:,:-1],data[:,-1], test_size = 0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      === Relevance Vector Classifier === \n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.76      0.95      0.85        99\n",
      "        1.0       0.84      0.47      0.60        55\n",
      "\n",
      "avg / total       0.79      0.78      0.76       154\n",
      "\n",
      "\n",
      "      === Support Vector Classifier === \n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.64      1.00      0.78        99\n",
      "        1.0       0.00      0.00      0.00        55\n",
      "\n",
      "avg / total       0.41      0.64      0.50       154\n",
      "\n",
      "\n",
      "      === Gradient Boosting Classifier === \n",
      "\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.80      0.89      0.84        99\n",
      "        1.0       0.75      0.60      0.67        55\n",
      "\n",
      "avg / total       0.78      0.79      0.78       154\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/amazaspshaumyan/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "rvc = GridSearchCV(RVC(kernel = 'poly'),param_grid = {'degree':[2,3],\n",
    "                                                      'gamma':[1e-2,1e-1,1,1e+1],\n",
    "                                                      'coef0':[0.1,1,10]})\n",
    "# Polynomial kernel was not used, since SVC with 'poly' kernel \n",
    "# did not produce any results even after 30 minutes running \n",
    "# (you can try yourself!)\n",
    "svc = GridSearchCV(SVC(probability = True), \n",
    "                   param_grid = {\"C\":np.logspace(-3,3,7),\n",
    "                                 'gamma':[0.1,1,10],\n",
    "                                 'kernel':['sigmoid','rbf']},\n",
    "                   cv = 5)\n",
    "\n",
    "gbc = GridSearchCV( RandomForestClassifier(n_estimators = 1000), \n",
    "                    param_grid = {'max_depth': [1,5,10]})\n",
    "\n",
    "rvc.fit(X,Y)\n",
    "svc.fit(X,Y)\n",
    "gbc.fit(X,Y)\n",
    "print \"\\n      === Relevance Vector Classifier === \\n\"\n",
    "print classification_report(y,rvc.predict(x))\n",
    "print \"\\n      === Support Vector Classifier === \\n\"\n",
    "print classification_report(y,svc.predict(x))\n",
    "print \"\\n      === Gradient Boosting Classifier === \\n\"\n",
    "print classification_report(y,gbc.predict(x))"
   ]
  }
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